{"id":"W2965136290","doi":"10.1130/abs/2019am-334302","title":"NOVEL WAYS TO MEASURE STUDENTS’ CONCEPTUAL UNDERSTANDINGS OF GEOLOGY AND ABOUT GEOLOGY RESULTING FROM DELIBERATE TEACHING STRATEGIES","year":2019,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Engineering and Environmental Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Measure (data warehouse); Mathematics education; Computer science; Geology; Psychology; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002064634,0.0002837865,0.000566169,0.00002027223,0.00008627284,0.00002431374,0.0002089022,0.0001892443,0.00002508438],"category_scores_gemma":[0.00002251319,0.0002229556,0.00008667351,0.0001080095,0.0008677808,0.0001105204,0.0001603377,0.0004324673,0.000007232881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004907729,"about_ca_system_score_gemma":0.000008840438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001028556,"about_ca_topic_score_gemma":0.00001757854,"domain_scores_codex":[0.9984825,0.00001701308,0.0004097258,0.0003473847,0.0002804584,0.0004629306],"domain_scores_gemma":[0.9993457,0.0002026195,0.0001410786,0.0001658535,0.000033079,0.0001117081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000399267,0.0009216823,0.2867109,0.0005148748,0.002883356,0.00001571458,0.03443897,0.5185604,0.08447941,0.001291518,0.0004623654,0.06932153],"study_design_scores_gemma":[0.003838466,0.004173147,0.9137624,0.0004396082,0.000162302,0.0000270873,0.06484223,0.00529376,0.001477327,0.000481173,0.00417226,0.001330227],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9608622,0.0005155643,0.03653442,0.0001334675,0.0000582789,0.0003314413,0.00000833271,0.0001665326,0.001389817],"genre_scores_gemma":[0.9424194,0.000148911,0.05722191,0.0001047016,0.00002676372,0.00002097699,0.00001806794,0.00002386614,0.00001537817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6270515,"threshold_uncertainty_score":0.9091864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02450630742802304,"score_gpt":0.2299061073284775,"score_spread":0.2053997999004545,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}